Empirical and mechanistic foundations for synergistic predictive processing in the sensory brain
SynPrePro aims to integrate hierarchical predictive coding with subcortical processing to enhance understanding of sensory input processing and its implications for perceptual disorders.
Projectdetails
Introduction
Humans effortlessly process over 200 spoken words per minute in casual conversation. Speech recognition algorithms still fail at this challenging task. Our superior performance stems from our capacity to predict what the speaker may say next. Understanding how the brain uses these predictions to process sensory input is crucial to understanding perceptual function and dysfunction. Dyslexia, autism, and psychosis have all been linked to an impaired handling of predictions.
Hierarchical Predictive Coding
Hierarchical predictive coding (HPC) is the current leading framework to understand how predictions help us process sensory inputs. However, HPC is only compatible with the function and organization of the cerebral cortex. This is a decisive shortcoming:
- While only cortical stages have the foresight to perform conceptually accurate predictions,
- Only subcortical stations have the temporal properties required to correctly process fast sensory inputs.
Project Overview
SynPrePro will reformulate HPC as an integrated theory explaining how cortical and subcortical stages work together to proficiently process fast and complex sensory inputs like speech.
Methodology
I will use a unique experimental-theoretical approach to study the human auditory pathway as a model for sensory pathways in four work packages (WPs):
- WP1: Use cutting-edge human neuroimaging to unravel the implementation of HPC in the auditory pathway.
- WP2: Use innovative model-based neuroimaging to identify the mechanisms responsible for the generation of conceptually accurate and temporally precise predictions.
- WP3: Develop a ground-breaking computational model to identify the neural mechanisms implementing HPC in the thalamocortical loop.
- WP4: Use big-data analytics to disentangle how cortical and subcortical stages work together to swiftly process speech.
Expected Outcomes
The outcomes will turn the cortical paradigm of HPC into an integrated theory of cortico-subcortical interactions, revolutionizing our understanding of perceptual function and dysfunction.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.945 |
Totale projectbegroting | € 1.499.945 |
Tijdlijn
Startdatum | 1-3-2024 |
Einddatum | 28-2-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGEpenvoerder
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Land(en)
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Active Inference and the Circuits of Precision and Prediction
PREDICTION aims to uncover the neural mechanisms of high-level visual cognition by integrating advanced methods across disciplines to model hierarchical processing in the human brain.
Defining an integrated model of the neural processing of speech in light of its multiscale dynamics
This project aims to develop an integrated model of speech perception by analyzing neural oscillatory dynamics and their relationship with linguistic timescales using advanced neuroimaging techniques.
A Predictive Coding Perspective of Brain Dynamics: the case of Oscillatory Travelling Waves
This project investigates the role of oscillatory traveling waves in brain dynamics using a multi-scale computational model to enhance understanding of cognitive functions and improve artificial vision systems.
Circuit mechanisms of cortical predictive learning
This project aims to investigate the circuit and neuromodulatory mechanisms of sensory prediction learning in the visual cortex, enhancing understanding of self-generated feedback processing and its implications for neurodevelopmental conditions and AI.
Language Processing in Blind Early Visual Cortex? Understanding Limits of Functional Plasticity in Human Brain
This project aims to investigate the functional plasticity of the early visual cortex in blind individuals to determine how it processes language, using advanced neuroimaging techniques.
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